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Object Oriented Neural Networks In C

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Object Oriented Neural Networks In C

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Author : Joey Rogers
language : en
Publisher: Morgan Kaufmann
Release Date : 1997

Object Oriented Neural Networks In C written by Joey Rogers and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.

"This book is distinctive in that it implements nodes and links as base objects and then composes them into four different kinds of neural networks. Roger's writing is clear....The text and code are both quite readable. Overall, this book will be useful to anyone who wants to implement neural networks in C++ (and, to a lesser extent, in other object-oriented programming languages.)...I recommend this book to anyone who wants to implement neural networks in C++."--D.L. Chester, Newark, Delaware in COMPUTING REVIEWSObject-Oriented Neural Networks in C++ is a valuable tool for anyone who wants to understand, implement, or utilize neural networks. This book/disk package provides the reader with a foundation from which any neural network architecture can beconstructed. The author has employed object-oriented design and object-oriented programming concepts to develop a set of foundation neural network classes, and shows how these classes can be used to implement a variety of neural network architectures with a great deal of ease and flexibility. A wealth of neural network formulas (with standardized notation), object code implementations, and examples are provided to demonstrate the object-oriented approach to neural network architectures and to facilitatethe development of new neural network architectures. This is the first book to take full advantage of the reusable nature of neural network classes. Key Features * Describes how to use the classes provided to implement a variety of neural network architectures including ADALINE, Backpropagation, Self-Organizing, and BAM * Provides a set of reusable neural network classes, created in C++, capable of implementing any neural network architecture * Includes an IBM disk of the source code for the classes, which is platform independent * Includes an IBM disk with C++ programs described in the book

Neural Networks In C

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Author : Adam Blum
language : en
Publisher:
Release Date : 1992

Neural Networks In C written by Adam Blum and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with C++ (Bilgisayar program dili) categories.

Interest in this area is at an all-time high. Fully explains how to apply neural networks to real-world problems, focusing on the practical side of building neural network applications. Besides providing a wealth of examples in C++, full coverage of three major application areas of neural network programming is included along with a complete C++ class library especially designed for neural network usage.

Neural Networks In C

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Author : Adam Blum
language : en
Publisher:
Release Date : 1992

Practical Neural Network Recipes In C

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Author : Timothy Masters
language : en
Publisher: Morgan Kaufmann
Release Date : 1993

Practical Neural Network Recipes In C written by Timothy Masters and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with C (Computer program language) categories.

This text serves as a cookbook for neural network solutions to practical problems using C++. It will enable those with moderate programming experience to select a neural network model appropriate to solving a particular problem, and to produce a working program implementing that network. The book provides guidance along the entire problem-solving path, including designing the training set, preprocessing variables, training and validating the network, and evaluating its performance. Though the book is not intended as a general course in neural networks, no background in neural works is assumed and all models are presented from the ground up. The principle focus of the book is the three layer feedforward network, for more than a decade as the workhorse of professional arsenals. Other network models with strong performance records are also included. Bound in the book is an IBM diskette that includes the source code for all programs in the book. Much of this code can be easily adapted to C compilers. In addition, the operation of all programs is thoroughly discussed both in the text and in the comments within the code to facilitate translation to other languages.

Building Object Oriented Systems

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Author : R. E. Callan
language : en
Publisher: WIT Press (UK)
Release Date : 1994

Building Object Oriented Systems written by R. E. Callan and has been published by WIT Press (UK) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.

This book examines: why representation is important, how object-oriented concepts provide the basis for an expressive representation language, and how these concepts aid program development. The book uses numerous examples of both representation and programs in C++.

Neural Network And Fuzzy Logic Applications In C C

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Author : Stephen T. Welstead
language : en
Publisher: Wiley
Release Date : 1994-07-13

Neural Network And Fuzzy Logic Applications In C C written by Stephen T. Welstead and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-07-13 with Computers categories.

Using an engineering and science perspective, it explores diverse neural network, fuzzy logic and genetic algorithm techniques plus developing applications best suited for each of the methods discussed. Sample results are described and judgment made as to how well each application worked. The book/disk set includes an object-oriented user interface along with the code for numerous programs.

Hands On Neural Network Programming With C

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Author : Matt R. Cole
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-09-29

Hands On Neural Network Programming With C written by Matt R. Cole and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-29 with Computers categories.

Create and unleash the power of neural networks by implementing C# and .Net code Key FeaturesGet a strong foundation of neural networks with access to various machine learning and deep learning librariesReal-world case studies illustrating various neural network techniques and architectures used by practitionersCutting-edge coverage of Deep Networks, optimization algorithms, convolutional networks, autoencoders and many moreBook Description Neural networks have made a surprise comeback in the last few years and have brought tremendous innovation in the world of artificial intelligence. The goal of this book is to provide C# programmers with practical guidance in solving complex computational challenges using neural networks and C# libraries such as CNTK, and TensorFlowSharp. This book will take you on a step-by-step practical journey, covering everything from the mathematical and theoretical aspects of neural networks, to building your own deep neural networks into your applications with the C# and .NET frameworks. This book begins by giving you a quick refresher of neural networks. You will learn how to build a neural network from scratch using packages such as Encog, Aforge, and Accord. You will learn about various concepts and techniques, such as deep networks, perceptrons, optimization algorithms, convolutional networks, and autoencoders. You will learn ways to add intelligent features to your .NET apps, such as facial and motion detection, object detection and labeling, language understanding, knowledge, and intelligent search. Throughout this book, you will be working on interesting demonstrations that will make it easier to implement complex neural networks in your enterprise applications. What you will learnUnderstand perceptrons and how to implement them in C#Learn how to train and visualize a neural network using cognitive servicesPerform image recognition for detecting and labeling objects using C# and TensorFlowSharpDetect specific image characteristics such as a face using Accord.NetDemonstrate particle swarm optimization using a simple XOR problem and EncogTrain convolutional neural networks using ConvNetSharpFind optimal parameters for your neural network functions using numeric and heuristic optimization techniques.Who this book is for This book is for Machine Learning Engineers, Data Scientists, Deep Learning Aspirants and Data Analysts who are now looking to move into advanced machine learning and deep learning with C#. Prior knowledge of machine learning and working experience with C# programming is required to take most out of this book

C

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Author : Saumyendra Sengupta
language : en
Publisher: Springer
Release Date : 2012-12-06

C written by Saumyendra Sengupta and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.

This book provides a broad coverage of fundamental and advanced con cepts of data structures and algorithms. The material presented includes a treatment of elementary data structures such as arrays, lists, stacks, and trees, as well as newer structures that have emerged to support the process ing of multidimensional or spatial data files. These newer structures and algorithms have received increasing attention in recent years in conjunc tion with the rapid growth in computer-aided design, computer graphics, and related fields in which multidimensional data structures are of great interest. Our main objective is to mesh the underlying concepts with application examples that are of practical use and are timely in their implementations. To this end, we have used mainly the Abstract Data Structure (or Abstract Data Type (ADT)) approach to define structures for data and operations. Object-oriented programming (OOP) methodologies are employed to im plement these ADT concepts. In OOP, data and operations for an ADT are combined into a single entity (object). ADTs are used to specifiy the objects-arrays, stacks, queues, trees, and graphs. OOP allows the pro grammer to more closely mimic the real-world applications. This OOP is more structured and modular than previous attempts. OOP has become de facto state-of-the-art in the 1990s.

Object Oriented Programming With C

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Author : Hanumanth Ladwa
language : en
Publisher: Hanumanth Ladwa
Release Date :

Object Oriented Programming With C written by Hanumanth Ladwa and has been published by Hanumanth Ladwa this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

OBJECT ORIENTED PROGRAMMING WITH C++

The Art Of Neural Networks Using C Sharp

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Author : Sebastian Jackson
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-11-26

The Art Of Neural Networks Using C Sharp written by Sebastian Jackson and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-26 with categories.

C# (pronounced as see sharp) is a multi-paradigm programming language encompassing strong typing, imperative, declarative, functional, generic, object-oriented (class-based), and component-oriented programming disciplines. It was developed by Microsoft within its .NET initiative and later approved as a standard by Ecma (ECMA-334) and ISO (ISO/IEC 23270:2006). C# is one of the programming languages designed for the Common Language Infrastructure. C# is a general-purpose, object-oriented programming language. Its development team is led by Anders Hejlsberg. The most recent version is C# 6.0 which was released in 2015. This updated and expanded second edition of Book provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for all those interested in the subject . We hope you find this book useful in shaping your future career & Business.

Object Oriented Neural Networks In C

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